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docs(readme): fix Qodo review findings on backend install docs and terminology

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Add graph-apache-age extra (psycopg2-binary) which was previously
undeclared despite age_store.py depending on it, wire it into
graph-all, and document install commands for FalkorDB/AGE/Neptune
alongside Neo4j. Note that RDF triple stores need no extra since they
talk SPARQL over HTTP via the core `requests` dependency. Also align
README's "Triplet Stores" table label to "Triple Stores (RDF)" to
match the standard term used elsewhere in the docs, while keeping the
TripletStore interface name in backticks.
This commit is contained in:
KaifAhmad1
2026-07-16 12:57:30 +05:30
parent 5b357c47cc
commit d71d4191aa
2 changed files with 10 additions and 4 deletions
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README.md
+8 -3
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@@ -1307,7 +1307,7 @@ For contributor / dev-server setup, see the full local setup guide:
| **Ontology Hub** | SHACL Studio · visual editor · cross-ontology alignments · 5-dimension health dashboard |
| **Vector Store** | FAISS · Pinecone · Weaviate · Qdrant · Milvus · PgVector · hybrid + filtered search |
| **Graph Databases (LPG)** | Neo4j · FalkorDB · Apache AGE · AWS Neptune |
| **Triplet Stores (RDF)** | Blazegraph · Apache Jena · Eclipse RDF4J · unified `TripletStore` interface · SPARQL query & bulk load |
| **Triple Stores (RDF)** | Blazegraph · Apache Jena · Eclipse RDF4J · unified `TripletStore` interface · SPARQL query & bulk load |
| **LLM Providers** | **All already supported today:** OpenAI (GPT-4o, o1, o3) · Anthropic (Claude 4) · Google Gemini · Mistral · Meta Llama · Groq · Cohere · Azure OpenAI · AWS Bedrock · Ollama · DeepSeek · Perplexity · Together AI · Fireworks AI · Replicate · HuggingFace · via `semantica.llms` and LiteLLM |
---
@@ -1354,7 +1354,12 @@ pip install semantica[all] # everything
```bash
pip install semantica[agno] # Agno multi-agent integration
pip install semantica[llm-litellm] # OpenAI, Anthropic, Gemini, Mistral, Llama, Groq, Cohere, Bedrock, Ollama, DeepSeek, and more
pip install semantica[graph-neo4j] # Neo4j graph store
pip install semantica[graph-neo4j] # Neo4j graph store (LPG)
pip install semantica[graph-falkordb] # FalkorDB graph store (LPG)
pip install semantica[graph-apache-age] # Apache AGE graph store (LPG)
pip install semantica[graph-amazon-neptune] # AWS Neptune graph store (LPG)
# RDF triple stores (Blazegraph, Apache Jena, Eclipse RDF4J) need no extra —
# semantica.triplet_store talks SPARQL over HTTP using the core `requests` dependency
pip install semantica[vectorstore-qdrant] # Qdrant vector store
pip install semantica[vectorstore-pinecone] # Pinecone vector store
pip install semantica[db-snowflake] # Snowflake
@@ -1364,7 +1369,7 @@ pip install semantica[viz] # HTML interactive visualization
pip install semantica[watch] # Directory file watcher
```
For production deployments, use Docker or Kubernetes rather than a local `pip install`. Set `SEMANTICA_SECRET_KEY`, configure a persistent graph store (Neo4j / FalkorDB), and point the vector store at a hosted backend (Qdrant / Pinecone). See [ARCHITECTURE.md](ARCHITECTURE.md) for the full deployment topology.
For production deployments, use Docker or Kubernetes rather than a local `pip install`. Set `SEMANTICA_SECRET_KEY`, configure a persistent LPG graph store (Neo4j / FalkorDB / Apache AGE / AWS Neptune) and/or RDF triple store (Blazegraph / Apache Jena / Eclipse RDF4J), and point the vector store at a hosted backend (Qdrant / Pinecone). See [ARCHITECTURE.md](ARCHITECTURE.md) for the full deployment topology.
```bash
# From source